Papers

2

Total Citations

31

H-Index

2

About

Jiahui Xu is a robotics researcher whose work centers on the precise control and localization of advanced robotic systems. Her primary research areas include trajectory tracking control for manipulators and state estimation for mobile robots. Xu’s major contribution is the development of an extended state observer-based dynamic iterative learning control scheme for six-degrees-of-freedom manipulators, a method that significantly enhances trajectory tracking accuracy in complex industrial automation tasks. This work, published in 2023, has already garnered 25 citations, underscoring its relevance to the field. Additionally, Xu has advanced mobile robotics by applying an Extended Kalman Filter (EKF) for positioning a McNamee wheel mobile robot, addressing the unique kinematic challenges posed by this six-state motion system. Her 2022 study on this topic, with 6 citations, demonstrates her ability to tackle non-standard robotic platforms. Xu’s research bridges theoretical control methods with practical applications, making her a notable emerging voice in robotics and automation.

Research Focus

Key Achievements

2
H-Index
2
Papers
31
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Extended state observer based dynamic iterative learning for trajectory tracking control of a six-degrees-of-freedom manipulator
25 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Beijing University of Chemical Technology, Wuhan University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago